brain-of-reese/app/core/settings_catalog.py

"""The admin Settings panel's catalogue (phase 168, task 02).

``TODO.md`` L3: "I want an admin panel that can edit anything in .env
and save it to the database."

This module is the single source of truth for what the panel shows and
what the DB-over-env overlay (``app.core.settings_overlay``) is allowed
to do with each of the ``Settings`` fields:

* :data:`CATALOG` maps every ``Settings`` field name to its
  presentation metadata (``group`` + ``label``) and its capability
  flags:

  - ``secret`` — write-only (LOCKED A4): the API reports ``has_value``
    (and ``masked=True`` / ``value=None``), never the plaintext; a
    saved value is masked on read.
  - ``restart_required`` — boot-wired (LOCKED A4): the middleware /
    engine / logging / static mount read it once at boot, so the
    override applies on the NEXT boot (the panel shows the badge).
  - ``overridable`` — ``False`` for LOCKED A3's ``database_url``
    (it builds the very engine that would read the override — a
    chicken-and-egg brick) and ``embedding_dim`` (A6 fixes
    ``chunks.embedding`` at table-creation; a dim override would
    corrupt retrieval).

  The panel (task 05) is GENERATED from this catalogue — never
  hand-written — so a new ``Settings`` field appears there only once
  it has a :class:`SettingMeta`; the completeness pin
  (``tests/unit/test_settings_catalog.py``: ``set(CATALOG) ==
  set(Settings.model_fields)``) fails the build the moment a field is
  added without metadata, so it can never silently disappear from the
  panel.
* :data:`GROUPS` is the display order of the groups — it mirrors
  ``app/config.py``'s own section comments (App, HTTP response
  compression / byte budget, UI customization, Database, LLM, Chat
  history, RAG tuning, …).
* :data:`SECRETS`, :data:`RESTART_REQUIRED` and
  :data:`NON_OVERRIDABLE` are DERIVED from :data:`CATALOG` — never
  re-listed by hand, so they cannot drift.

:func:`env_var` keeps the ``BOR_`` prefix a pure presentation concern
(D1): the stored key is the bare ``Settings`` field name
(``relevance_threshold``), ``"BOR_" + key.upper()`` is what the panel
and the API show, and a stored prefix could double up — so it is
derived, never stored.
"""
from __future__ import annotations

from dataclasses import dataclass


@dataclass(frozen=True, slots=True)
class SettingMeta:
    """One settings field's panel metadata + capability flags."""

    key: str
    group: str
    label: str
    #: Write-only (LOCKED A4) — masked in responses, ``is_set`` only.
    secret: bool = False
    #: Boot-wired (LOCKED A4) — applies on the next boot.
    restart_required: bool = False
    #: ``False`` = read-only row (LOCKED A3).
    overridable: bool = True


#: The ``BOR_`` prefix is presentation only (D1) — see :func:`env_var`.
ENV_PREFIX = "BOR_"

#: Display order of the groups (mirrors ``app/config.py``'s section
#: comments); :data:`CATALOG` is keyed in the same order.
GROUPS: tuple[str, ...] = (
    "App & branding",
    "HTTP & logging",
    "Database",
    "LLM (aipi)",
    "Chat history",
    "Retrieval & honesty",
    "Chunking & embedding",
    "Prompt budgets",
    "Agent tools",
    "Import & sources",
    "Images",
    "PDF",
    "Docs push",
    "Admin & security",
)

#: Every ``Settings`` field, in :data:`GROUPS` display order. Completeness
#: is pinned by ``tests/unit/test_settings_catalog.py`` (the diff is in
#: the failure message — a new setting without metadata fails the build).
CATALOG: dict[str, SettingMeta] = {
    # --- App & branding ---
    "app_name": SettingMeta("app_name", "App & branding", "App name"),
    "app_version": SettingMeta("app_version", "App & branding", "App version"),
    "environment": SettingMeta("environment", "App & branding", "Environment"),
    "input_placeholder": SettingMeta(
        "input_placeholder", "App & branding", "Input placeholder"
    ),
    "footer_text": SettingMeta("footer_text", "App & branding", "Footer text"),
    "suggestions": SettingMeta(
        "suggestions", "App & branding", "Suggestions (JSON array)"
    ),
    # --- HTTP & logging ---
    "log_level": SettingMeta(
        "log_level", "HTTP & logging", "Log level", restart_required=True
    ),
    "log_large_response_bytes": SettingMeta(
        "log_large_response_bytes",
        "HTTP & logging",
        "Log large response bytes",
    ),
    "compress_min_bytes": SettingMeta(
        "compress_min_bytes", "HTTP & logging", "Compress min bytes",
        restart_required=True,
    ),
    "static_dir": SettingMeta(
        "static_dir", "HTTP & logging", "Static dir", restart_required=True
    ),
    # --- Database ---
    "database_url": SettingMeta(
        "database_url", "Database", "Database URL",
        secret=True, overridable=False,
    ),
    "db_pool_size": SettingMeta(
        "db_pool_size", "Database", "DB pool size", restart_required=True
    ),
    "db_pool_max_overflow": SettingMeta(
        "db_pool_max_overflow", "Database", "DB pool max overflow",
        restart_required=True,
    ),
    "db_pool_recycle": SettingMeta(
        "db_pool_recycle", "Database", "DB pool recycle", restart_required=True
    ),
    "chat_max_concurrent": SettingMeta(
        "chat_max_concurrent", "Database", "Chat max concurrent"
    ),
    # --- LLM (aipi) ---
    "llm_base_url": SettingMeta(
        "llm_base_url", "LLM (aipi)", "LLM base URL"
    ),
    "llm_api_key": SettingMeta(
        "llm_api_key", "LLM (aipi)", "LLM API key", secret=True
    ),
    "llm_chat_model": SettingMeta(
        "llm_chat_model", "LLM (aipi)", "LLM chat model"
    ),
    "llm_embed_model": SettingMeta(
        "llm_embed_model", "LLM (aipi)", "LLM embed model"
    ),
    "llm_summary_model": SettingMeta(
        "llm_summary_model", "LLM (aipi)", "LLM summary model"
    ),
    "llm_chat_thinking_level": SettingMeta(
        "llm_chat_thinking_level", "LLM (aipi)", "Chat thinking level"
    ),
    "llm_summary_thinking_level": SettingMeta(
        "llm_summary_thinking_level", "LLM (aipi)", "Summary thinking level"
    ),
    "stream_thinking": SettingMeta(
        "stream_thinking", "LLM (aipi)", "Stream thinking"
    ),
    "llm_retries": SettingMeta("llm_retries", "LLM (aipi)", "LLM retries"),
    "llm_retry_delay": SettingMeta(
        "llm_retry_delay", "LLM (aipi)", "LLM retry delay"
    ),
    "llm_timeout": SettingMeta("llm_timeout", "LLM (aipi)", "LLM timeout (s)"),
    # --- Chat history ---
    "history_max_turns": SettingMeta(
        "history_max_turns", "Chat history", "History max turns"
    ),
    "history_max_chars": SettingMeta(
        "history_max_chars", "Chat history", "History max chars"
    ),
    # --- Retrieval & honesty ---
    "embedding_dim": SettingMeta(
        "embedding_dim", "Retrieval & honesty", "Embedding dim",
        overridable=False,
    ),
    "top_n_docs": SettingMeta("top_n_docs", "Retrieval & honesty", "Top N docs"),
    "relevance_threshold": SettingMeta(
        "relevance_threshold", "Retrieval & honesty", "Relevance threshold"
    ),
    "lexical_support_floor": SettingMeta(
        "lexical_support_floor", "Retrieval & honesty", "Lexical support floor"
    ),
    "source_usefulness_floor": SettingMeta(
        "source_usefulness_floor",
        "Retrieval & honesty",
        "Source usefulness floor",
    ),
    "related_max_docs": SettingMeta(
        "related_max_docs", "Retrieval & honesty", "Related max docs"
    ),
    "suggested_docs": SettingMeta(
        "suggested_docs", "Retrieval & honesty", "Suggested docs"
    ),
    "suggestion_preview_chars": SettingMeta(
        "suggestion_preview_chars",
        "Retrieval & honesty",
        "Suggestion preview chars",
    ),
    "hybrid_vector_candidates": SettingMeta(
        "hybrid_vector_candidates",
        "Retrieval & honesty",
        "Hybrid vector candidates",
    ),
    "hybrid_lexical_candidates": SettingMeta(
        "hybrid_lexical_candidates",
        "Retrieval & honesty",
        "Hybrid lexical candidates",
    ),
    "rrf_k": SettingMeta("rrf_k", "Retrieval & honesty", "RRF k"),
    "recency_boost": SettingMeta(
        "recency_boost", "Retrieval & honesty", "Recency boost"
    ),
    "recency_half_life_days": SettingMeta(
        "recency_half_life_days",
        "Retrieval & honesty",
        "Recency half-life days",
    ),
    "name_hit_bonus": SettingMeta(
        "name_hit_bonus", "Retrieval & honesty", "Name hit bonus"
    ),
    # --- Chunking & embedding ---
    "chunk_target_chars": SettingMeta(
        "chunk_target_chars", "Chunking & embedding", "Chunk target chars"
    ),
    "chunk_overlap_chars": SettingMeta(
        "chunk_overlap_chars", "Chunking & embedding", "Chunk overlap chars"
    ),
    "embed_batch_size": SettingMeta(
        "embed_batch_size", "Chunking & embedding", "Embed batch size"
    ),
    "embed_question_max_chars": SettingMeta(
        "embed_question_max_chars",
        "Chunking & embedding",
        "Embed question max chars",
    ),
    # --- Prompt budgets ---
    "max_output_tokens": SettingMeta(
        "max_output_tokens", "Prompt budgets", "Max output tokens"
    ),
    "steering_max_chars": SettingMeta(
        "steering_max_chars", "Prompt budgets", "Steering max chars"
    ),
    "summary_max_chars": SettingMeta(
        "summary_max_chars", "Prompt budgets", "Summary max chars"
    ),
    "kb_overview_max_chars": SettingMeta(
        "kb_overview_max_chars", "Prompt budgets", "KB overview max chars"
    ),
    "overview_input_max_chars": SettingMeta(
        "overview_input_max_chars",
        "Prompt budgets",
        "Overview input max chars",
    ),
    "folder_summary_input_max_chars": SettingMeta(
        "folder_summary_input_max_chars",
        "Prompt budgets",
        "Folder summary input max chars",
    ),
    # --- Agent tools ---
    "agent_max_rounds": SettingMeta(
        "agent_max_rounds", "Agent tools", "Agent max rounds"
    ),
    "read_max_chars": SettingMeta(
        "read_max_chars", "Agent tools", "Read max chars"
    ),
    "answer_text": SettingMeta("answer_text", "Agent tools", "Answer text"),
    "show_text_max_chars": SettingMeta(
        "show_text_max_chars", "Agent tools", "Show text max chars"
    ),
    "show_text_max_blocks": SettingMeta(
        "show_text_max_blocks", "Agent tools", "Show text max blocks"
    ),
    # --- Import & sources ---
    "import_extensions": SettingMeta(
        "import_extensions", "Import & sources", "Import extensions (CSV)"
    ),
    "git_sources": SettingMeta(
        "git_sources", "Import & sources", "Git sources (CSV)"
    ),
    "sources_dir": SettingMeta(
        "sources_dir", "Import & sources", "Sources dir"
    ),
    "upload_dir": SettingMeta("upload_dir", "Import & sources", "Upload dir"),
    "upload_max_mb": SettingMeta(
        "upload_max_mb", "Import & sources", "Upload max MB"
    ),
    # --- Images ---
    "images": SettingMeta("images", "Images", "Images"),
    "image_extensions": SettingMeta(
        "image_extensions", "Images", "Image extensions (CSV)"
    ),
    "image_dir": SettingMeta("image_dir", "Images", "Image dir"),
    "chat_image_dir": SettingMeta(
        "chat_image_dir", "Images", "Chat image dir"
    ),
    "chat_image_max_mb": SettingMeta(
        "chat_image_max_mb", "Images", "Chat image max MB"
    ),
    "answer_images": SettingMeta("answer_images", "Images", "Answer images"),
    # --- PDF ---
    "pdf_pictorial": SettingMeta("pdf_pictorial", "PDF", "PDF pictorial"),
    "pdf_pictorial_min_chars": SettingMeta(
        "pdf_pictorial_min_chars", "PDF", "PDF pictorial min chars"
    ),
    "pdf_image_skip_blank": SettingMeta(
        "pdf_image_skip_blank", "PDF", "PDF image skip blank"
    ),
    "pdf_page_dir": SettingMeta("pdf_page_dir", "PDF", "PDF page dir"),
    # --- Docs push ---
    "docs_repo": SettingMeta("docs_repo", "Docs push", "Docs repo"),
    "docs_user": SettingMeta("docs_user", "Docs push", "Docs user"),
    "docs_token": SettingMeta(
        "docs_token", "Docs push", "Docs token", secret=True
    ),
    "docs_branch": SettingMeta("docs_branch", "Docs push", "Docs branch"),
    "docs_base_branch": SettingMeta(
        "docs_base_branch", "Docs push", "Docs base branch"
    ),
    "docs_work_dir": SettingMeta("docs_work_dir", "Docs push", "Docs work dir"),
    # --- Admin & security ---
    "admin_password": SettingMeta(
        "admin_password", "Admin & security", "Admin password", secret=True
    ),
    "session_secret": SettingMeta(
        "session_secret", "Admin & security", "Session secret",
        secret=True, restart_required=True,
    ),
    "session_max_age": SettingMeta(
        "session_max_age", "Admin & security", "Session max age",
        restart_required=True,
    ),
    "session_cookie": SettingMeta(
        "session_cookie", "Admin & security", "Session cookie",
        restart_required=True,
    ),
}

#: The masked set (LOCKED A4: write-only; ``database_url`` is read-only
#: but its URL carries credentials, so it is masked too) — derived,
#: never re-listed by hand.
SECRETS: frozenset[str] = frozenset(
    key for key, meta in CATALOG.items() if meta.secret
)

#: The boot-wired set (LOCKED A4: logging, the gzip middleware, the
#: static mount, ``create_engine``, ``SessionMiddleware``) — derived.
RESTART_REQUIRED: frozenset[str] = frozenset(
    key for key, meta in CATALOG.items() if meta.restart_required
)

#: The read-only set (LOCKED A3) — derived.
NON_OVERRIDABLE: frozenset[str] = frozenset(
    key for key, meta in CATALOG.items() if not meta.overridable
)


def env_var(key: str) -> str:
    """The env var for one bare setting key — presentation only (D1).

    The stored key is the bare ``Settings`` field name; the ``BOR_``
    form is what the panel and the API show, never what is stored
    (a stored prefix could double up).
    """
    return ENV_PREFIX + key.upper()